Published December 6, 2025 | Version v1.0.0
Dataset Open

English Premier League Fixture Congestion and Injury Dataset (2012–2025)

Authors/Creators

  • 1. ROR icon Trinity College Dublin

Description

This record contains the complete processed dataset used in the study Effects of Fixture Congestion on Injury Risk in the English Premier League, 2012–2025.
All data are derived entirely from publicly available sources (FBref match data and Transfermarkt injury histories). No confidential or proprietary information is used.

The dataset includes:

  • Player–day panel for English Premier League matches (2012–2025)

  • Player–day panel including all senior competitions

  • Cleaned Transfermarkt injury spells and event classifications

  • Player fragility grouping (injuries per exposure + maximum spell duration)

  • Match-proxy injury attribution (same-day and lag-1 events)

  • Crude hazard tables (5-min and 45-min bins)

  • GLM (logistic) predicted probabilities and odds ratios

  • Per-minute Poisson and Negative Binomial spline predictions

  • FFT spectral estimates of periodicity in injury incidence

  • Model diagnostics, exposure summaries, and other derived outputs

All processing scripts are available in the companion code repository (epl_congestion), which provides instructions to fully reproduce the dataset from raw FBref and Transfermarkt data.

This dataset is released to support full transparency, reproducibility, and reuse by the sports science, epidemiology, and data science communities.

Files

baseline_injury_rate_by_all_minutes7d_bin.csv

Files (3.8 GB)

Name Size Download all
md5:bd0be2b9f066bff377264422662c96af
210 Bytes Preview Download
md5:e030b965696d92ef4718b66fbf1c9cb2
309 Bytes Preview Download
md5:062b579c589a810df99ee63eef4fb1b5
435 Bytes Preview Download
md5:9ef670e0bcdb244e6937b2f02076613a
13.5 kB Preview Download
md5:4a9a84c2d6aa687702120568c677d629
132.3 kB Preview Download
md5:abb1fe0274e83052cb1ab577dfe497bb
132.3 kB Preview Download
md5:b59377af76d890350ec1053b7e671627
132.1 kB Preview Download
md5:c0322d32f52f8773d0d6e695dcf3b715
819 Bytes Preview Download
md5:6c89fc2473bfffe51fe7b97112988960
810 Bytes Preview Download
md5:4e3ce0cdaf39f4a4eb1c9e07519ec2dd
819 Bytes Preview Download
md5:708dda39851aef9f62b3bef140d8a325
811 Bytes Preview Download
md5:8a88556f63ff2a1408c086f414907560
396 Bytes Preview Download
md5:e93d4a3663e66ca1f24fb74a61b4d23f
813 Bytes Preview Download
md5:af5c8487b9c9a1f550af7028e7d748a6
809 Bytes Preview Download
md5:02d21f9fbcc464b93abe188561c0932c
7.9 kB Preview Download
md5:a401ae4769ca0ccfa84c13e656230116
7.4 kB Preview Download
md5:77fa5d5c49de8c0393a71c6492778fec
7.6 kB Preview Download
md5:1477e8506fea6001f4fbf67dcb66e9cd
6.6 kB Preview Download
md5:8bc48866a46c0d53b1aff9c03b965a0e
1.3 kB Preview Download
md5:14707070beb555b6449ef8355b313705
1.3 kB Preview Download
md5:ec04a9d41b7dcfe7ebb289c853e96038
331 Bytes Preview Download
md5:6065a083699e4ff1154346a6941729bb
866 Bytes Preview Download
md5:69290dad9ce1769920d5afe71bdef863
706 Bytes Preview Download
md5:f9827468eed5317096cca2044d510236
2.2 kB Preview Download
md5:464d2d2c82e4ce98b86ea8c8e1d6fe5c
3.2 kB Preview Download
md5:3f1f8f60f1d55034409ae1f23a72d68a
3.2 kB Preview Download
md5:e75cfd1e4787be452bb3d6614892ec73
3.0 kB Preview Download
md5:db4e67da22c69836f3d367a93485370d
304 Bytes Preview Download
md5:ab6d630b83d3592dd52dda2f0ad6605e
399 Bytes Preview Download
md5:6c5b741069340daca31991e464bac124
312 Bytes Preview Download
md5:c895cd3685cf2b1ea2b205b561282791
433 Bytes Preview Download
md5:851523b822e7ea9cbe274d401d884d03
275 Bytes Preview Download
md5:3685725ffa4ff4b59409ce7410d61c0e
319 Bytes Preview Download
md5:748dc615fdd03f1bda01d7eb6a89ee34
2.0 kB Preview Download
md5:dc7cc11a89e9a5f75def0cba4c9214dd
2.5 kB Preview Download
md5:f0157172592821cc7ba4ce8cd2e2480e
2.2 kB Preview Download
md5:abf7c7beedb080247cc77e25a51e8f82
2.7 kB Preview Download
md5:5777f1da0e00b2a7568e3b2d72e2489b
2.2 kB Preview Download
md5:8601e7c39acd5f32673a043fb2c94227
2.6 kB Preview Download
md5:c71b2bf08539dc99acd81616e699101a
1.3 kB Preview Download
md5:9ac443e87b063745ad376a600806caa4
1.5 kB Preview Download
md5:db4e67da22c69836f3d367a93485370d
304 Bytes Preview Download
md5:af5c8487b9c9a1f550af7028e7d748a6
809 Bytes Preview Download
md5:7321c713bd840560ed7a4c5716e06915
866 Bytes Preview Download
md5:ab6d630b83d3592dd52dda2f0ad6605e
399 Bytes Preview Download
md5:6c5b741069340daca31991e464bac124
312 Bytes Preview Download
md5:7ff4af6fadb36e0fa1d391b2659c5bbc
808 Bytes Preview Download
md5:1c2be84a44827602e683919234708018
867 Bytes Preview Download
md5:c895cd3685cf2b1ea2b205b561282791
433 Bytes Preview Download
md5:851523b822e7ea9cbe274d401d884d03
275 Bytes Preview Download
md5:3685725ffa4ff4b59409ce7410d61c0e
319 Bytes Preview Download
md5:db4e67da22c69836f3d367a93485370d
304 Bytes Preview Download
md5:ab6d630b83d3592dd52dda2f0ad6605e
399 Bytes Preview Download
md5:6c5b741069340daca31991e464bac124
312 Bytes Preview Download
md5:c895cd3685cf2b1ea2b205b561282791
433 Bytes Preview Download
md5:851523b822e7ea9cbe274d401d884d03
275 Bytes Preview Download
md5:3685725ffa4ff4b59409ce7410d61c0e
319 Bytes Preview Download
md5:6c988c569082a518db569e07b854dc3f
367.9 MB Preview Download
md5:8fde915ffa6db56de2ea98807c5319e8
342 Bytes Preview Download
md5:4f61e4f4235a851726dff36a32ee464e
106 Bytes Preview Download
md5:11addccba33a216b3ced66a6a76d05a9
2.4 kB Preview Download
md5:e3c87b34aa885db5d63ddbf66f7e9aa3
8.0 kB Preview Download
md5:632291ccedcf5a7c2d20eab5f2a5f423
2.6 kB Preview Download
md5:ffdd9f79a2d7a0a9d7e7285513aeadb1
2.5 kB Preview Download
md5:6700a8ba03dab63dca55b161b610e8a0
8.2 kB Preview Download
md5:2b58272e08a57b48658f094315045ef5
1.3 kB Preview Download
md5:14f476fda52ef65bfe29fdab33fcc950
5.1 kB Preview Download
md5:a1d7520035917a524f54ab610c505676
1.4 kB Preview Download
md5:01358475058adfa2d7a3b8139bd29148
540.6 MB Preview Download
md5:51d0e2f0ff0fa86b65a0c304c3c8d45c
2.7 GB Preview Download
md5:4ac7e46f74c13f393dabb7bbb66c5d2b
252.8 kB Preview Download
md5:a1c9b5241748937b43902d739472e236
349.8 kB Preview Download
md5:8a16934b785760f82a648618c723640c
395.3 kB Preview Download
md5:17bb8572fd25f52e83655a19ea63c637
221.8 MB Preview Download
md5:6473611f5ba85aa25800a9ba2ab37c31
1.4 kB Preview Download
md5:67b0bc6673a1c4609585b73e1d2a12a2
16.3 kB Preview Download
md5:cc5ed5146cde1c3b013da502bc3a747b
2.8 MB Preview Download
md5:5e2ac28724d170cfeea81fdbe8f17067
1.1 MB Preview Download

Additional details

Dates

Available
2025-12-06

Software

Repository URL
https://github.com/Gustolandia/epl_congestion/
Programming language
Python
Development Status
Active